diff options
Diffstat (limited to 'gn3')
| -rw-r--r-- | gn3/db/traits.py | 69 | ||||
| -rw-r--r-- | gn3/heatmaps.py | 67 |
2 files changed, 70 insertions, 66 deletions
diff --git a/gn3/db/traits.py b/gn3/db/traits.py index f2673c8..1e29aff 100644 --- a/gn3/db/traits.py +++ b/gn3/db/traits.py @@ -1,12 +1,81 @@ """This class contains functions relating to trait data manipulation""" import os +from functools import reduce from typing import Any, Dict, Union, Sequence + from gn3.settings import TMPDIR from gn3.random import random_string from gn3.function_helpers import compose from gn3.db.datasets import retrieve_trait_dataset +def export_trait_data( + trait_data: dict, samplelist: Sequence[str], dtype: str = "val", + var_exists: bool = False, n_exists: bool = False): + """ + Export data according to `samplelist`. Mostly used in calculating + correlations. + + DESCRIPTION: + Migrated from + https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L166-L211 + + PARAMETERS + trait: (dict) + The dictionary of key-value pairs representing a trait + samplelist: (list) + A list of sample names + dtype: (str) + ... verify what this is ... + var_exists: (bool) + A flag indicating existence of variance + n_exists: (bool) + A flag indicating existence of ndata + """ + def __export_all_types(tdata, sample): + sample_data = [] + if tdata[sample]["value"]: + sample_data.append(tdata[sample]["value"]) + if var_exists: + if tdata[sample]["variance"]: + sample_data.append(tdata[sample]["variance"]) + else: + sample_data.append(None) + if n_exists: + if tdata[sample]["ndata"]: + sample_data.append(tdata[sample]["ndata"]) + else: + sample_data.append(None) + else: + if var_exists and n_exists: + sample_data += [None, None, None] + elif var_exists or n_exists: + sample_data += [None, None] + else: + sample_data.append(None) + + return tuple(sample_data) + + def __exporter(accumulator, sample): + # pylint: disable=[R0911] + if sample in trait_data["data"]: + if dtype == "val": + return accumulator + (trait_data["data"][sample]["value"], ) + if dtype == "var": + return accumulator + (trait_data["data"][sample]["variance"], ) + if dtype == "N": + return accumulator + (trait_data["data"][sample]["ndata"], ) + if dtype == "all": + return accumulator + __export_all_types(trait_data["data"], sample) + raise KeyError("Type `%s` is incorrect" % dtype) + if var_exists and n_exists: + return accumulator + (None, None, None) + if var_exists or n_exists: + return accumulator + (None, None) + return accumulator + (None,) + + return reduce(__exporter, samplelist, tuple()) + def get_trait_csv_sample_data(conn: Any, trait_name: int, phenotype_id: int): """Fetch a trait and return it as a csv string""" diff --git a/gn3/heatmaps.py b/gn3/heatmaps.py index 2dd9d07..bf9dfd1 100644 --- a/gn3/heatmaps.py +++ b/gn3/heatmaps.py @@ -14,6 +14,7 @@ from plotly.subplots import make_subplots # type: ignore from gn3.settings import TMPDIR from gn3.random import random_string from gn3.computations.slink import slink +from gn3.db.traits import export_trait_data from gn3.computations.correlations2 import compute_correlation from gn3.db.genotypes import ( build_genotype_file, load_genotype_samples) @@ -26,72 +27,6 @@ from gn3.computations.qtlreaper import ( parse_reaper_main_results, organise_reaper_main_results) -def export_trait_data( - trait_data: dict, samplelist: Sequence[str], dtype: str = "val", - var_exists: bool = False, n_exists: bool = False): - """ - Export data according to `samplelist`. Mostly used in calculating - correlations. - - DESCRIPTION: - Migrated from - https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L166-L211 - - PARAMETERS - trait: (dict) - The dictionary of key-value pairs representing a trait - samplelist: (list) - A list of sample names - dtype: (str) - ... verify what this is ... - var_exists: (bool) - A flag indicating existence of variance - n_exists: (bool) - A flag indicating existence of ndata - """ - def __export_all_types(tdata, sample): - sample_data = [] - if tdata[sample]["value"]: - sample_data.append(tdata[sample]["value"]) - if var_exists: - if tdata[sample]["variance"]: - sample_data.append(tdata[sample]["variance"]) - else: - sample_data.append(None) - if n_exists: - if tdata[sample]["ndata"]: - sample_data.append(tdata[sample]["ndata"]) - else: - sample_data.append(None) - else: - if var_exists and n_exists: - sample_data += [None, None, None] - elif var_exists or n_exists: - sample_data += [None, None] - else: - sample_data.append(None) - - return tuple(sample_data) - - def __exporter(accumulator, sample): - # pylint: disable=[R0911] - if sample in trait_data["data"]: - if dtype == "val": - return accumulator + (trait_data["data"][sample]["value"], ) - if dtype == "var": - return accumulator + (trait_data["data"][sample]["variance"], ) - if dtype == "N": - return accumulator + (trait_data["data"][sample]["ndata"], ) - if dtype == "all": - return accumulator + __export_all_types(trait_data["data"], sample) - raise KeyError("Type `%s` is incorrect" % dtype) - if var_exists and n_exists: - return accumulator + (None, None, None) - if var_exists or n_exists: - return accumulator + (None, None) - return accumulator + (None,) - - return reduce(__exporter, samplelist, tuple()) def trait_display_name(trait: Dict): """ |